Reptilian-Detecting AR Glasses Prototype
Budget: ₹1,500 – ₹12,500 INR
I want to commission a working prototype of augmented-reality glasses that can reveal what I call “reptilian vision” in real time. The concept is to capture the scene through dual cameras, run an infrared scan of every frame, and overlay a visual cue inside the lenses whenever the software flags a reptilian-like thermal signature or pattern.
Scope of work
• Hardware: select compact IR sensors, a lightweight display engine, and a processor capable of on-device computer-vision inference.
• Software: build the AR layer (Unity, Unreal, or similar is fine), integrate an infrared scanning pipeline (OpenCV / TensorFlow-Lite), and train a model that distinguishes ordinary human heat maps from the anomalous patterns I will supply.
• UX: provide a simple toggle so I can switch between normal view and “reptilian vision,” plus a heads-up notification when a detection occurs.
Acceptance criteria
1. A fully assembled, wearable prototype that operates untethered for at least 30 minutes.
2. Live overlay correctly highlights test targets that match the training data and remains silent on ordinary scenes.
3. Source code, wiring diagrams, bill of materials, and a short video demo of the system in action.
If you have prior experience with AR eyewear, infrared imaging, or custom CV models, I’d love to see examples. Let’s discuss timeline and any technical hurdles you foresee.
Scope of work
• Hardware: select compact IR sensors, a lightweight display engine, and a processor capable of on-device computer-vision inference.
• Software: build the AR layer (Unity, Unreal, or similar is fine), integrate an infrared scanning pipeline (OpenCV / TensorFlow-Lite), and train a model that distinguishes ordinary human heat maps from the anomalous patterns I will supply.
• UX: provide a simple toggle so I can switch between normal view and “reptilian vision,” plus a heads-up notification when a detection occurs.
Acceptance criteria
1. A fully assembled, wearable prototype that operates untethered for at least 30 minutes.
2. Live overlay correctly highlights test targets that match the training data and remains silent on ordinary scenes.
3. Source code, wiring diagrams, bill of materials, and a short video demo of the system in action.
If you have prior experience with AR eyewear, infrared imaging, or custom CV models, I’d love to see examples. Let’s discuss timeline and any technical hurdles you foresee.
Related categories:
Software Development
Augmented Reality
OpenCV
Unreal Engine
Embedded Systems
Computer Vision
Unity
Visual Effects